docstr: Goes through a scenario to convert it to an avro schema
docstr_tok: ["Goes","through","a","scenario","to","convert","it","to","an","avro","schema"]
code: def scenario_to_avro_schema(self, scenario):
      """
      Goes through a scenario to convert it to an avro schema
  
      """
      schema = {"type": "record", "name": "row", "fields": []}
      for feature_name in scenario:
          generator = scenario[feature_name]
          spec = generator.spec
          if isinstance(spec, tf.TensorSpec):
              self._add_dense_feature_schema(feature_name, spec, schema)
          elif isinstance(spec, tf.SparseTensorSpec):
              if issubclass(
                  generator.get_generator_cls(),
                  VarLenTensorGeneratorBase,
              ):
                  self._add_dense_feature_schema(
                      feature_name, spec, schema
                  )
              else:
                  self._add_sparse_feature_schema(
                      feature_name, spec, "long", schema
                  )
      schema_str = json.dumps(schema)
      return schema_str
  
imports: import os
  import hashlib
  import json
  import numpy
  import tensorflow
  from avro.schema import Parse
  from avro.datafile import DataFileWriter
  from avro.io import DatumWriter
  from tests.test_atds_avro.utils.file_writer import FileWriter
  from tests.test_atds_avro.utils.generator.varlen_tensor_generator import VarLenTensorGeneratorBase
  from tensorflow_io.python.experimental.atds.features import DenseFeature, SparseFeature, VarlenFeature
label_desc: Use image node_id 7 for calling the ATDSWriter obj's underlying member method code with example usage: obj.scenario_to_avro_schema(scenario) and returns: schema_str